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Record W7018139370

Coming Home: homelessness among trans people in the EU

2021· other· en· W7018139370 on OpenAlexaboutno aff

Bibliographic record

VenueIssue Lab (Candid) · 2021
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsMainstreamPovertyQuarter (Canadian coin)Agency (philosophy)Face (sociological concept)Ethnic groupAccommodationPoor peopleOlder peoplePublic policy
DOInot available

Abstract

fetched live from OpenAlex

A quarter of trans people in the EU report having experienced homelessness or housing difficulties in some form, including sleeping rough, at a friend's house, or in a shelter, at some point in their lives. The share is higher for younger trans people, trans people with migration or ethnic minority backgrounds, and trans people with disabilities. At the same time, trans people face an inaccessibility of housing: one-fifth of trans respondents to the 2019 EU Fundamental Rights Agency LGBTI Survey reported experiencing discrimination when looking for housing in the 12 months preceding the survey.Despite being so widespread, trans people's experiences with homelessness is grossly under-researched and the needs of vulnerable trans people are too often not considered in mainstream housing and emergency accommodation programs. Trans-led organisations and drop-in centres, on the other hand, are the first port of call for many trans people in crisis.This policy brief intends to raise awareness of the current situation of trans people and homelessness in Europe among the general public, trans advocates, and other stakeholders working at national, regional and EU level. It will describe how trans people experience homelessness, why trans people are vulnerable to poverty and homelessness, and the impact of the COVID crisis; the actors currently working to eliminate homelessness among trans people and what they are doing; and it will identify the needs of the community, possible solutions, and finally draw up policy recommendations.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.503
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0170.002

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.011
GPT teacher head0.255
Teacher spread0.244 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2021
Admission routes1
Has abstractyes

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